Subsea Monitoring & Mapping

Transcription

1 Subsea Monitoring & Mapping Arnold Hechanova & Dave Fraser ITAC Meeting 2016 Woods Hole Oceanographic Institute, MA

2 Overview Program Objective: Develop sensors to detect loss of containment subsea and enable timely and more informed incident response. Technology Development Program: 1. Subsea Integrity Monitoring 2. Autonomous Hydrocarbon Detection and Mapping 2

3 Subsea Integrity Monitoring developing Acoustic Sensors Images Courtesy of Chevron ETC Subsea Intervention Team 3

4 Subsea Integrity Monitoring developing Acoustic Sensors Monitor hydrocarbon plumes in water column High resolution scanning with wide band multibeam sonar array Volume estimation of 3D plume Quantify dispersion mixing efficiency, oil droplet size, gas content Prototype configuration Raw sonar data Real-time 3D processing Topsides alarm Images Courtesy of Chevron ETC Subsea Intervention Team 4

5 Prototype Configuration 200kHz wide band multi-beam sonar Subsea processing bottle Subsea battery pack Acoustic modem Image Courtesy of Chevron ETC Subsea Intervention Team 5

6 Experimental Setup Gas plume Fresh water plume Images Courtesy of Chevron ETC Subsea Intervention Team 6

7 Pier Test Results 460m Image Courtesy of Chevron ETC Subsea Intervention Team 7

8 Dispersant Effectiveness Tests Oil released in a test tank with a wave generator Different types of dispersant were applied to compare effectiveness Multibeam sonar used to scan the oil plume and provide a macro-level understanding of the plume shape and volume Laser In-Situ Scattering and Transmissometry (LISST) sensor used to measure droplet size distribution Volume estimation possible in post processing Image Courtesy of Norbit Subsea Ltd. 9

9 Autonomous Hydrocarbon Detection & Mapping 1. Baseline Grid Survey 2. Hydrocarbon Detection Images Courtesy of Chevron ETC Subsea Intervention Team 3. Adaptive Mapping 10

10 Coal Oil Point Seep Field Santa Barbara, CA Images Courtesy of Chevron ETC Subsea Intervention Team 200 water depth, bpd, 40tons of methane per day (naturally occurring) 11

11 AUV Sensor Payload Trigger Sensors Acoustic BlueView FLS, BlueView MB, Sonardyne Side Scan Optical Cathx M12 Camera Chemical Franatech Laser Methane Sniffer, SRI Mass Spec Image Courtesy of Chevron ETC Subsea Intervention Team 12

12 Adaptive Behavior Phase 1 Phase 2 Phase 3 Images Courtesy of Chevron ETC Subsea Intervention Team 13

13 Acoustic Sensors FLS tracked plume at multiple depths Successfully triggered adaptive survey Data compiled to form 3D plume rendering Object avoidance & ground tracking algorithms Images Courtesy of Chevron ETC Subsea Intervention Team 14

14 Color gradient denotes concentration of dissolved methane Note higher concentration in adaptive survey area Chemical Sensors SRI Underwater Mass Spectrometer Image Courtesy of Chevron ETC Subsea Intervention Team 15

15 Color gradient denotes concentration of dissolved methane Note higher concentration in adaptive survey area Chemical Sensors SRI Underwater Mass Spectrometer Image Courtesy of Chevron ETC Subsea Intervention Team 16

16 Chemical Sensors Franatech Laser Methane Sniffer Most reliable trigger for adaptive survey Near real-time detection of methane Strong correlation with mass spec - Mass Spectrometer - Franatech Images Courtesy of Franatech 17

17 Lessons Learned & Next Steps Validated active acoustic sonar as a viable technology for subsea leak detection, plume monitoring, and volume estimation First demonstration of autonomous hydrocarbon detection and mapping in industry Successful joint development partnership with vendors and Total Of the sensors used, the laser methane sniffer was the most robust and reliable for detecting methane and triggering adaptive behavior Further development required for weighting of trigger sensors Camera requires further development for onboard machine vision Opportunity for automated process to calculate plume volumes Potential for in-situ characterization and fingerprinting of hydrocarbons 18